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An automated city image symbol identification and comparison method
ZHANG Yunchuan *,JI Jiawei
Evergrande School of Management, Wuhan University of Science and Technology, 430065
*Correspondence author
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Funding: Humanities and Social Sciences Research Project of Education Department of Hubei Province （No.No.15Y020）
Opened online:17 April 2019
Accepted by: none
Citation: ZHANG Yunchuan,JI Jiawei.An automated city image symbol identification and comparison method[OL]. [17 April 2019] http://en.paper.edu.cn/en_releasepaper/content/4748149
 
 
City image is one of the most important and significant issues in the urban management. Previous research has proposed an automatic destination brand and image detection model, however, the model failed to identify target-specific image symbol. An improved automated city image symbol identification method is put forward in this paper. The method consists of text analysis, Natural Language Processing (NLP) and similarity measurement techniques. In order to evaluate the method, the experiment which newspapers is select as the application example is conducted. The experimental results show that the method is better performed in discerning city image symbol and can be used to help people make city image aware decisions.
Keywords:Text analysis; Natural language processing; City image symbol; Place branding
 
 
 

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